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portada Iterative Learning Control for Deterministic Systems
Type
Physical Book
Author
Publisher
Language
English
Pages
152
Format
Paperback
Dimensions
23.4 x 15.6 x 0.9 cm
Weight
0.25 kg.
ISBN13
9781447119142
Categories

Iterative Learning Control for Deterministic Systems

Kevin L. Moore (Author) · Springer · Paperback

Iterative Learning Control for Deterministic Systems - Moore, Kevin L.

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Synopsis "Iterative Learning Control for Deterministic Systems"

The material presented in this book addresses the analysis and design of learning control systems. It begins with an introduction to the concept of learning control, including a comprehensive literature review. The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem. Additionally, several design methods are given for LTI learning control, incorporating a technique based on parameter estimation and a one-step learning control algorithm for finite-horizon problems. Further chapters focus upon learning control for deterministic nonlinear systems, and a time-varying learning controller is presented which can be applied to a class of nonlinear systems, including the models of typical robotic manipulators. The book concludes with the application of artificial neural networks to the learning control problem. Three specificways to neural nets for this purpose are discussed, including two methods which use backpropagation training and reinforcement learning. The appendices in the book are particularly useful because they serve as a tutorial on artificial neural networks.

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